Google Pixel 8
Geekbench AI Score
868
Single Precision Score
1332
Half Precision Score
1017
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 14 2025 08:11 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Google Tensor G3 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Google Pixel 8 |
| Model ID | Google Pixel 8 |
| Motherboard | shiba |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores @ 1.70 GHz |
| Cluster 2 | 4 Cores @ 2.37 GHz |
| Cluster 3 | 1 Core @ 2.91 GHz |
| Memory Information | |
|---|---|
| Size | 7.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
279
51.9 IPS |
|
|
Image Classification (HP)
|
100% |
411
76.5 IPS |
|
|
Image Classification (Q)
|
97% |
399
74.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1310
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1663
27.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1674
27.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4895
5.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
11970
14.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
11546
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
478
37.9 IPS |
|
|
Object Detection (HP)
|
99% |
721
57.2 IPS |
|
|
Object Detection (Q)
|
83% |
542
43.8 IPS |
|
|
Face Detection (SP)
|
100% |
1960
23.3 IPS |
|
|
Face Detection (HP)
|
100% |
2471
29.4 IPS |
|
|
Face Detection (Q)
|
96% |
2247
26.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3255
25.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
5399
41.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
4198
39.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7572
9.73 IPS |
|
|
Style Transfer (HP)
|
100% |
19571
25.2 IPS |
|
|
Style Transfer (Q)
|
98% |
18410
23.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1646
60.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2223
82.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1945
72.1 IPS |
|
|
Text Classification (SP)
|
35% |
15
136.7 IPS |
|
|
Text Classification (HP)
|
35% |
19
176.1 IPS |
|
|
Text Classification (Q)
|
32% |
13
166.0 IPS |
|
|
Machine Translation (SP)
|
100% |
239
4.12 IPS |
|
|
Machine Translation (HP)
|
100% |
271
4.68 IPS |
|
|
Machine Translation (Q)
|
43% |
65
3.79 IPS |
